lets_plot.geom_bin2d¶
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lets_plot.geom_bin2d(mapping=None, *, data=None, stat=None, position=None, show_legend=None, sampling=None, tooltips=None, bins=None, binwidth=None, drop=None, **other_args)¶ Displays a 1d distribution by dividing variable mapped to x axis into bins and counting the number of observations in each bin.
- Parameters
mapping (FeatureSpec) – Set of aesthetic mappings created by aes() function. Aesthetic mappings describe the way that variables in the data are mapped to plot “aesthetics”.
data (dict or DataFrame) – The data to be displayed in this layer. If None, the default, the data is inherited from the plot data as specified in the call to ggplot.
stat (str, default=’bin2d’) – The statistical transformation to use on the data for this layer, as a string.
position (str or FeatureSpec, default=’stack’) – Position adjustment, either as a string (‘identity’, ‘stack’, ‘dodge’, …), or the result of a call to a position adjustment function.
show_legend (bool, default=True) – False - do not show legend for this layer.
sampling (FeatureSpec) – Result of the call to the sampling_xxx() function. Value None (or ‘none’) will disable sampling for this layer.
tooltips (layer_tooltips) – Result of the call to the layer_tooltips() function. Specifies appearance, style and content.
bins (list of int, default=[30, 30]) – Number of bins in both directions, vertical and horizontal. Overridden by binwidth.
binwidth (list of float) – The width of the bins in both directions, vertical and horizontal. Overrides bins. The default is to use bin widths that cover the entire range of the data.
drop (bool, default=True) – Specifies whether to remove all bins with 0 counts.
other_args – Other arguments passed on to the layer. These are often aesthetics settings used to set an aesthetic to a fixed value, like color=’red’, fill=’blue’, size=3 or shape=21. They may also be parameters to the paired geom/stat.
- Returns
Geom object specification.
- Return type
LayerSpec
Note
geom_bin2d() applies rectangular grid to the plane then counts observation in each cell of the grid (bin). Uses geom_tile() to display counts as a tile fill-color.
- geom_bin2d() understands the following aesthetics mappings:
x : x-axis value.
y : y-axis value.
alpha : transparency level of a layer. Understands numbers between 0 and 1.
color (colour) : color of a geometry lines. Can be continuous or discrete. For continuous value this will be a color gradient between two colors.
fill : color of geometry filling, default: ‘..count..’. Alternatively: ‘..density..’.
size : lines width.
weight : used by ‘bin’ stat to compute weighted sum instead of simple count.
Examples
>>> import numpy as np >>> from lets_plot import * >>> LetsPlot.setup_html() >>> np.random.seed(42) >>> mean = np.zeros(2) >>> cov = np.eye(2) >>> x, y = np.random.multivariate_normal(mean, cov, 1000).T >>> ggplot({'x': x, 'y': y}, aes(x='x', y='y')) + geom_bin2d()
>>> import numpy as np >>> from lets_plot import * >>> LetsPlot.setup_html() >>> np.random.seed(42) >>> n = 5000 >>> x = np.random.uniform(-2, 2, size=n) >>> y = np.random.normal(scale=.5, size=n) >>> ggplot({'x': x, 'y': y}, aes(x='x', y='y')) + \ >>> geom_bin2d(aes(fill='..density..'), binwidth=[.25, .24], \ >>> tooltips=layer_tooltips().format('@x', '.2f') >>> .format('@y', '.2f').line('(@x, @y)') >>> .line('count|@..count..') >>> .format('@..density..', '.3f') >>> .line('density|@..density..')) + \ >>> scale_fill_gradient(low='black', high='red')
>>> import numpy as np >>> from lets_plot import * >>> LetsPlot.setup_html() >>> np.random.seed(42) >>> mean = np.zeros(2) >>> cov = [[1, .5], >>> [.5, 1]] >>> x, y = np.random.multivariate_normal(mean, cov, 500).T >>> ggplot({'x': x, 'y': y}, aes(x='x', y='y')) + \ >>> geom_bin2d(aes(alpha='..count..'), bins=[20, 20], \ >>> color='white', fill='darkgreen') + \ >>> geom_point(size=1.5, shape=21, color='white', \ >>> fill='darkgreen') + \ >>> ggsize(600, 450)